Sure, it’s fun to chat with data executives and thought leaders, but this season, we are focusing on the people who roll up their sleeves and get the data work done. And there’s no better place for a podcast like ours to start than with a data practitioner at Drizly.
data tools
5 Questions with Sarah Catanzaro
The modern data stack is often defined by the type of technologies that exist within it. Cloud-based, open source, low/no code tools, ELT, and reverse ETL. But surely there’s more to it… isn’t there?
Driving Action with Data Doesn’t Have To Be So Hard
The quantity of data being created around the world is mind boggling. According to our friends at Domo, humans currently produce 2.5 quintillion bytes of data every day. (And that figure has surely grown since their report was released in 2018.) In the business world,...
How to Evaluate a Modern Data Catalog
The data catalog market has exploded in recent years, and for good reason. Organizations have a ton of data and metadata, but it’s often difficult to find and understand, and people are not sure how to apply the data to their business. A modern data catalog serves as...
5 Questions with Nick Schrock
The modern data stack is often defined by the type of technologies that exist within it. Cloud-based, open source, low/no code tools, ELT, and reverse ETL. But surely there’s more to it… isn’t there?
5 Questions with Erik Bernhardsson
New data tools drop daily, but are they worth the hype? Some launch with overinflated expectations, while others solve a problem that doesn’t really exist. On the flip side, there are tools that transform the enterprise and have the potential to change the way we manage data forever. The question is, how do you tell the difference?
